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Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis
BACKGROUND: Few studies have been reported the potential role of N6-methyladenosine (m(6)A) modification in osteoarthritis (OA). We investigated the patterns of m(6)A modification in the immune microenvironment of OA. METHODS: We evaluated the m(6)A modification patterns based on 22 m(6)A regulators...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728527/ https://www.ncbi.nlm.nih.gov/pubmed/36505479 http://dx.doi.org/10.3389/fimmu.2022.1018701 |
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author | Ouyang, Yulong Tu, Yuanqing Chen, Shuilin Min, Huan Wen, Zhexu Zheng, Guihao Wan, Ting Fan, Hao Yang, Wenzhao Sun, Guicai |
author_facet | Ouyang, Yulong Tu, Yuanqing Chen, Shuilin Min, Huan Wen, Zhexu Zheng, Guihao Wan, Ting Fan, Hao Yang, Wenzhao Sun, Guicai |
author_sort | Ouyang, Yulong |
collection | PubMed |
description | BACKGROUND: Few studies have been reported the potential role of N6-methyladenosine (m(6)A) modification in osteoarthritis (OA). We investigated the patterns of m(6)A modification in the immune microenvironment of OA. METHODS: We evaluated the m(6)A modification patterns based on 22 m(6)A regulators in 139 OA samples and systematically associated these modification patterns with immune cell infiltration characteristics. The function of m(6)A phenotype-related differentially expressed genes (DEGs) was investigated using gene enrichment analysis. An m(6)A score model was constructed using principal component analysis (PCA), and an OA prediction model was established based on the key m(6)A regulators. We used real-time PCR analysis to detect the changes of gene expression in the cell model of OA. RESULTS: Healthy and OA samples showed significant differences in the expression of m(6)A regulators. Nine key m(6)A regulators, two m(6)A modification patterns, m(6)A-related genes and two gene clusters were identified. Some m(6)A regulators had a strong correlation with each other. Gene clusters and m(6)A clusters have high similarity, and cluster A corresponds to a high m(6)A score. Immunocytes infiltration differed significantly between the two clusters, with the m(6)A cluster B and gene cluster B having more types of infiltrating immunocytes than cluster A. The predictive model can also predict the progression of OA through m(6)A regulators expression. The results of real-time PCR analysis showed that the gene expression in the cell model of OA is similar to that of the m(6)A cluster B. CONCLUSIONS: Our study reveals for the first time the potential regulatory mechanism of m(6)A modification in the immune microenvironment of OA. This study also sheds new light on the pathogenesis of OA. |
format | Online Article Text |
id | pubmed-9728527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97285272022-12-08 Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis Ouyang, Yulong Tu, Yuanqing Chen, Shuilin Min, Huan Wen, Zhexu Zheng, Guihao Wan, Ting Fan, Hao Yang, Wenzhao Sun, Guicai Front Immunol Immunology BACKGROUND: Few studies have been reported the potential role of N6-methyladenosine (m(6)A) modification in osteoarthritis (OA). We investigated the patterns of m(6)A modification in the immune microenvironment of OA. METHODS: We evaluated the m(6)A modification patterns based on 22 m(6)A regulators in 139 OA samples and systematically associated these modification patterns with immune cell infiltration characteristics. The function of m(6)A phenotype-related differentially expressed genes (DEGs) was investigated using gene enrichment analysis. An m(6)A score model was constructed using principal component analysis (PCA), and an OA prediction model was established based on the key m(6)A regulators. We used real-time PCR analysis to detect the changes of gene expression in the cell model of OA. RESULTS: Healthy and OA samples showed significant differences in the expression of m(6)A regulators. Nine key m(6)A regulators, two m(6)A modification patterns, m(6)A-related genes and two gene clusters were identified. Some m(6)A regulators had a strong correlation with each other. Gene clusters and m(6)A clusters have high similarity, and cluster A corresponds to a high m(6)A score. Immunocytes infiltration differed significantly between the two clusters, with the m(6)A cluster B and gene cluster B having more types of infiltrating immunocytes than cluster A. The predictive model can also predict the progression of OA through m(6)A regulators expression. The results of real-time PCR analysis showed that the gene expression in the cell model of OA is similar to that of the m(6)A cluster B. CONCLUSIONS: Our study reveals for the first time the potential regulatory mechanism of m(6)A modification in the immune microenvironment of OA. This study also sheds new light on the pathogenesis of OA. Frontiers Media S.A. 2022-11-23 /pmc/articles/PMC9728527/ /pubmed/36505479 http://dx.doi.org/10.3389/fimmu.2022.1018701 Text en Copyright © 2022 Ouyang, Tu, Chen, Min, Wen, Zheng, Wan, Fan, Yang and Sun https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Ouyang, Yulong Tu, Yuanqing Chen, Shuilin Min, Huan Wen, Zhexu Zheng, Guihao Wan, Ting Fan, Hao Yang, Wenzhao Sun, Guicai Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis |
title | Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis |
title_full | Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis |
title_fullStr | Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis |
title_full_unstemmed | Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis |
title_short | Characterization of immune microenvironment infiltration and m(6)A regulator-mediated RNA methylation modification patterns in osteoarthritis |
title_sort | characterization of immune microenvironment infiltration and m(6)a regulator-mediated rna methylation modification patterns in osteoarthritis |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728527/ https://www.ncbi.nlm.nih.gov/pubmed/36505479 http://dx.doi.org/10.3389/fimmu.2022.1018701 |
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